[HTML][HTML] A comprehensive review of key factors affecting the efficacy of antibody drug conjugate

A Samantasinghar, NP Sunildutt, F Ahmed… - Biomedicine & …, 2023 - Elsevier
Abstract Antibody Drug Conjugate (ADC) is an emerging technology to overcome the
limitations of chemotherapy by selectively targeting the cancer cells. ADC binds with an …

[HTML][HTML] A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19

F Ahmed, AM Soomro, ARC Salih… - Biomedicine & …, 2022 - Elsevier
Conventional drug discovery and development is tedious and time-taking process; because
of which it has failed to keep the required pace to mitigate threats and cater demands of viral …

Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches

F Ahmed, IS Kang, KH Kim, A Asif… - Journal of Medical …, 2023 - Wiley Online Library
Cancer management is major concern of health organizations and viral cancers account for
approximately 15.4% of all known human cancers. Due to large number of patients, efficient …

[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing

F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis

A Samantasinghar, F Ahmed, CSA Rahim, KH Kim… - Translational …, 2023 - Elsevier
Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney
disease (CKD) and end-stage renal failure. Despite extensive research, there have been …

Revolutionizing drug development: harnessing the potential of organ-on-chip technology for disease modeling and drug discovery

N Sunildutt, P Parihar… - Frontiers in …, 2023 - frontiersin.org
The inefficiency of existing animal models to precisely predict human pharmacological
effects is the root reason for drug development failure. Microphysiological system/organ-on …

A review of SARS-CoV-2 drug repurposing: Databases and machine learning models

M Elkashlan, RM Ahmad, M Hajar, F Al Jasmi… - Frontiers in …, 2023 - frontiersin.org
The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
posed a serious worldwide threat and emphasized the urgency to find efficient solutions to …

Navigating with chemometrics and machine learning in chemistry

PB Joshi - Artificial Intelligence Review, 2023 - Springer
Chemometrics and machine learning are artificial intelligence-based methods stirring a
transformative change in chemistry. Organic synthesis, drug discovery and analytical …

Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis

A Hechifa, A Lakehal, A Nanfak, L Saidi, C Labiod… - Electrical …, 2024 - Springer
This paper discusses the impact of the feature input vector on the performance of dissolved
gas analysis-based intelligent power transformer fault diagnosis methods. For this purpose …

[HTML][HTML] Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles

F Ahmed, SG Ho, A Samantasinghar, FH Memon… - Computational and …, 2022 - Elsevier
Psoriasis is a skin disease which results in scales on the skin caused by flaky patches.
Psoriasis is triggered by various conditions such as drug reactions, trauma, and skin …